Intelligent embodied robots are integrated systems: as they move continuously through their environments, executing behaviors and carrying out tasks, components for low-level and high-level intelligence are integrated in the robot’s cognitive system, and cognitive and physical processes combine to create their behavior. For a modeling framework to enable the design and analysis of such integrat...

This paper takes a dynamical systems perspective on the semantic structures of dynamic epistemic logic (DEL) and asks the question which orbits DEL-based dynamical systems may produce. The class of dynamical systems based directly on action models produce very limited orbits. Three types of more complex model transformers are equivalent and may produce a large class of orbits, suitable for most...

The current situation in the eld of computer aided dynamic systems modeling is syrveyed, and the contemporary tools for computer aided modeling are discussed. It is proposed that there is a need also for special purpose modeling tools that are able to manipulate the models without destructing their structure. The role of symbolic calculation in combination with object-oriented modeling is empha...

We propose a dynamical systems model that captures the daily fluctuations of human weight change, incorporating both physiological and psychological factors. The model consists of an energy balance integrated with a mechanistic behavioral model inspired by the Theory of Planned Behavior (TPB); the latter describes how important variables in a behavioral intervention can influence healthy eating...

— If we were able to foresee the future, we could be prepared to reduce the impact of bad situations as well as getting the most of profiting periods. Our world is a dynamic system that evolves as time goes by. The number of variables that can influence in future situations outnumbers our capacity of prediction at a first glance. This article will show an alternative way to foresee potential fu...

Pillow is an interactive pattern-design system for creating plush toys. The user imports a 3D surface model into the system and specifies the segmentation boundaries interactively by drawing seam lines on the model surface. Based on this segmentation, the system generates a 2D pattern by flattening each outlined region, and then visualizes the shape of the resulting plush toy by applying a simp...

During each ovarian cycle, numerous follicles are in competition for their survival, only a few of them ovulate and participate to the reproduction as fertilizable oocyte. Therefore, the development of ovarian follicles is crucial for the survival of mammals species and a better understanding of this selection process is required to improve the treatment of infertility or to improve the reprodu...

In this paper, we present an ensemble learning method for modeling dynamic systems. The method is a combination of the bagging approach to ensemble learning and the approach of inductive process modeling of dynamic systems. We illustrate the use of the proposed method on the task of modeling phytoplankton growth in Lake Bled.